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Updated: Jun 14, 2025
Cortical Source Analysis of High-Density EEG Recordings in Children
Published on: June 30, 2014
Transforming of scalp EEGs with different channel locations by REST for comparative study
Li Dong1, Runchen Yang2, Ao Xie2
1The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu 2019RU035, China; Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, China.
Objective:
The diversity of electrode placement systems brought the problem of channel location harmonization in large-scale electroencephalography (EEG) applications to the forefront. Therefore, our goal was to resolve this problem by introducing and assessing the reference electrode standardization technique (REST) to transform EEGs into a common electrode distribution with computational zero reference at infinity offline.
Methods:
Simulation and eye-closed resting-state EEG datasets were used to investigate the performance of REST for EEG signals and power configurations.
Results:
REST produced small errors (the root mean square error (RMSE): 0.2936-0.4583; absolute errors: 0.2343-0.3657) and high correlations (>0.9) between the estimated signals and true ones. The comparison of configuration similarities in power among various electrode distributions revealed that REST induced infinity reference could maintain a perfect performance similar (>0.9) to that of true one.
Conclusion:
These results demonstrated that REST transformation could be adopted to resolve the channel location harmonization problem in large-scale EEG applications.
